Adult Drug Treatment Courts and Community-Level Drug Possession Arrests
Principal Investigator(s): View help for Principal Investigator(s) Patrick Hibbard, Oregon Social Learning Center
Version: View help for Version V2
Name | File Type | Size | Last Modified |
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ADCs_DrugPoss_CleanAndSetup_for_Replication.do | text/plain | 9.7 KB | 03/02/2022 12:42:PM |
ADCs_DrugPoss_CoreAnalysis_for_Replication.do | text/plain | 7.6 KB | 03/02/2022 12:12:PM |
ADCs_DrugPoss_Counterfactual_for_Replication.do | text/plain | 9.2 KB | 03/02/2022 12:12:PM |
ADCs_DrugPoss_LawEnf_Robustness_for_Replication.do | text/plain | 10.4 KB | 03/02/2022 12:12:PM |
ADCs_and_DrugArrests_AppendixB_Methods.pdf | application/pdf | 224.6 KB | 03/03/2022 10:15:AM |
ADCs_and_DrugArrests_AppendixC_Data.pdf | application/pdf | 94.6 KB | 03/03/2022 10:08:AM |
DTCs_and_DrugArrests_AppendixA_AddTablesAndGraphs.pdf | application/pdf | 975.1 KB | 03/03/2022 10:08:AM |
DrArrest_ADCs_CleanStacks.dta | application/x-stata-dta | 64.6 MB | 03/02/2022 12:12:PM |
Project Citation:
Hibbard, Patrick. Adult Drug Treatment Courts and Community-Level Drug Possession Arrests. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-03. https://doi.org/10.3886/E163821V2
Project Description
Summary:
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This study assessed the degree to which adult drug treatment courts impact county-level drug possession arrests using a stacked event study desing. Materials included here serve as supplements to the article "Adult Drug Treatment Courts and Community-Level Drug Possession Arrests" submitted to the journal Crime & Delinquency in March of 2022.
Materials include:
- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks
- Analysis data with county FIPS codes anonymized
- PDF supplemental materials for the paper: additional tables and graphs, methods appendix, and data appendix
The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect use of the treatment court data until fully released to the public.
Materials include:
- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks
- Analysis data with county FIPS codes anonymized
- PDF supplemental materials for the paper: additional tables and graphs, methods appendix, and data appendix
The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect use of the treatment court data until fully released to the public.
Scope of Project
Geographic Coverage:
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Most counties in the United States
Time Period(s):
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1990 – 2018
Data Type(s):
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administrative records data;
aggregate data;
census/enumeration data;
text
Methodology
Sampling:
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This dataset is built upon the UCR Summary Reporting Arrest data concatenated by Jacob Kaplan (https://www.openicpsr.org/openicpsr/project/102180/version/V11/view). To minimize measurement error, data cleaning started with UCR reporting agencies which reported all 12 months per year for the entirety of each stack (see Methods Appendix for clarification). Agencies were collapsed to the county level, then other data were merged in.
Data Source:
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UCR Summary Reporting Arrest data were attained from https://www.openicpsr.org/openicpsr/project/102180/version/V11/view.
Treatment court data come from a purpose-built dataset that has not yet been released for public use.
County-level demographic data were gathered from the NIH SEER dataset.
Unemployment data include those provided by the US Labor Department in the LAUS.
Other information merged in include county size in square miles (to calculate population density) and presidential vote proportions (interpolated in off years weighted by proximity to election year).
Treatment court data come from a purpose-built dataset that has not yet been released for public use.
County-level demographic data were gathered from the NIH SEER dataset.
Unemployment data include those provided by the US Labor Department in the LAUS.
Other information merged in include county size in square miles (to calculate population density) and presidential vote proportions (interpolated in off years weighted by proximity to election year).
Related Publications
Published Versions
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